Module Code - Title:
DM4017
-
SIMULATION MODELLING AND ANALYSIS
Year Last Offered:
2025/6
Hours Per Week:
Grading Type:
Prerequisite Modules:
Rationale and Purpose of the Module:
To provide students with knowledge on discrete event simulation modeling and its application to manufacturing, logistic and services systems.
To provide students with modelling and software capabilities to apply simulation to manufacturing, logistic and services systems.
Syllabus:
Introduction to simulation
Overview of simulation modelling, introduction to the basic concepts of discrete event simulation. The simulation process steps involved in carrying out a simulation project. Comparison of discrete event simulation with continuous simulation and system dynamics.
Computer simulation packages
Overview of available computer packages, description of representative packages, computer implementation issues. Development of programming skills to apply simulation to manufacturing, logistic and services systems using a generic simulation package. Provide an overview of available simulation software.
Statistical aspects of simulation
Input analysis, random number generation, output analysis, experimental design.
Queuing Models
Provide comparison of simulation with stochastic mathematical models through the introduction of basic queuing models.
Systems Design
Using simulation students will carry out systems (manufacturing, logistic and services systems) design assignments.
Learning Outcomes:
Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)
On successful completion of this module students will be able to:
Critique and be able to explain the role of simulation modeling in systems design and analysis.
Be able to apply the steps of a simulation project.
Be able to develop simulation models of basic manufacturing, logistics and service systems.
Be able to analyse statistically input data, output data analysis.
Be able to apply queuing theory and evaluate its advantages/disadvantages when compared to discrete event simulation.
Be able to demonstrate a high level of competency in applying systems simulation through the development of a portfolio of simulation assignments.
Be able to apply design of experiments approaches in simulation analysis.
Affective (Attitudes and Values)
N/A
Psychomotor (Physical Skills)
On successful completion of this module students will be able to:
Use of computers.
How the Module will be Taught and what will be the Learning Experiences of the Students:
The module will be delivered through formal lectures and computer laboratories.
Research Findings Incorporated in to the Syllabus (If Relevant):
Prime Texts:
Law, A. (2006)
Simulation Modeling and Analysis (4nd edition),
, McGraw-Hill.
Concannon, K., Elder, M., Hunter, K., Tremble, J. and Tse, S. (2007)
Simulation Modeling with SIMUL8
, Visual Thinking International Ltd.
Other Relevant Texts:
Pidd, M. (2010)
Tools for Thinking: Modelling in Management Science
, Wiley
Robinson, S. (2004)
Simulation: The Practice of Model Development and Use
, Wiley
Programme(s) in which this Module is Offered:
Semester(s) Module is Offered:
Module Leader:
ben.cusack@ul.ie